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Journal of Computational and Graphical Statistics Volume 22, 2013 - Issue 2
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Articles: Regularization and the Lasso

Automatic Feature Selection via Weighted Kernels and Regularization

Genevera I. Allen Department of Pediatrics-Neurology, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030; Department of Statistics, Rice University, Houston, TX, 77005
Pages 284-299 | Received 01 Jul 2010, Published online: 30 May 2013

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Yi Lian, Archer Yi Yang, Boxiang Wang, Peng Shi & Robert William Platt. (2023) A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space. Technometrics 65:2, pages 281-295.
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Hang Yu, Yuanjia Wang & Donglin Zeng. (2020) Sparse nonparametric regression with regularized tensor product kernel. Stat 9:1.
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Zejiang Hou & S. Y. Kung. (2019) A Kernel Discriminant Information Approach to Non-linear Feature Selection. A Kernel Discriminant Information Approach to Non-linear Feature Selection.
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Nematollah K. Batmanghelich, Adrian Dalca, Gerald Quon, Mert Sabuncu & Polina Golland. (2016) Probabilistic Modeling of Imaging, Genetics and Diagnosis. IEEE Transactions on Medical Imaging 35:7, pages 1765-1779.
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Ni Zhao, Jun Chen, Ian M. Carroll, Tamar Ringel-Kulka, Michael P. Epstein, Hua Zhou, Jin J. Zhou, Yehuda Ringel, Hongzhe Li & Michael C. Wu. (2015) Testing in Microbiome-Profiling Studies with MiRKAT, the Microbiome Regression-Based Kernel Association Test. The American Journal of Human Genetics 96:5, pages 797-807.
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Anshuman Sahu, Daniel W. Apley & George C. Runger. (2014) Feature selection for noisy variation patterns using kernel principal component analysis. Knowledge-Based Systems 72, pages 37-47.
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Myung Hee Lee & Yufeng Liu. (2013) Kernel continuum regression. Computational Statistics & Data Analysis 68, pages 190-201.
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